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DBMS > BigchainDB vs. GeoMesa vs. Riak KV vs. Snowflake vs. Splice Machine

System Properties Comparison BigchainDB vs. GeoMesa vs. Riak KV vs. Snowflake vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonRiak KV  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed, fault tolerant key-value storeCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeSpatial DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#200  Overall
#32  Document stores
Score0.78
Rank#199  Overall
#3  Spatial DBMS
Score6.63
Rank#64  Overall
#8  Key-value stores
Score93.51
Rank#14  Overall
#9  Relational DBMS
Score0.80
Rank#193  Overall
#91  Relational DBMS
Websitewww.bigchaindb.comwww.geomesa.orgriak.com/­products/­riak-kvwww.snowflake.comsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.snowflake.net/­manuals/­index.htmldoc.splicemachine.com
DeveloperCCRi and othersBasho TechnologiesSnowflake Computing Inc.Splice Machine
Initial release20162014200920142014
Current release3.2.0, April 20212.1.0, April 20153.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise editioncommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonScalaErlangJava
Server operating systemsLinuxLinux
OS X
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or datenoyesnoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScript and Erlanguser defined functionsyes infoJava
Triggersnoyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerSharding infono "single point of failure"yesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerselectable replication factoryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyesyes infodepending on the DBMS used for storagenoUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
BigchainDBGeoMesaRiak KVSnowflakeSplice Machine
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More resources
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